Results 91 to 100 of about 6,308,360 (314)

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Map of British Malaya including the Straits settlements, Federated Malay States and Malay States not included in the Federation 1922.

, 1922
Map of British Malaya showing railway lines, roads, cart tracks, bridle and foot paths, state and district boundaries, towns & villages sites, light houses, villages, rivers, promontories, islands, landing places, passes, hills, mountains, bays, Strait ...
Federated Malay States. Survey Department, cartographer.
core  

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

Review of Decentralized Federated Learning [PDF]

Jisuanji kexue yu tansuo
With the rapid growth of large-scale heterogeneous data, centralized federated learning faces challenges in data processing and privacy protection.
CHEN Lifang, XU Kailong, ZHAO Renzhe, HAN Yang, DAI Qi
doaj   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Partial Federated Learning

CoRR
Federated Learning (FL) is a popular algorithm to train machine learning models on user data constrained to edge devices (for example, mobile phones) due to privacy concerns. Typically, FL is trained with the assumption that no part of the user data can be egressed from the edge.
Tiantian Feng, Anil Ramakrishna, Jimit Majmudar, Charith Peris, Jixuan Wang, Clement Chung, Richard S. Zemel, Morteza Ziyadi, Rahul Gupta 0001   +8 more
openaire   +2 more sources

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Federated Learning-Based Framework: A New Paradigm Proposed for Supply Chain Risk Management

Engineering Proceedings
This paper proposes federated learning-based frameworks for supply chain risk management to address data-sharing constraints. To validate, centralized federated learning with horizontal data was applied for delivery delay prediction using datasets from ...
Thanh Tuan Nguyen, Abdelghani Bekrar, Thi Muoi Le, Abdelhakim Artiba, Tarik Chargui, Thi Thu Huong Trinh, Ahmed Snoun   +6 more
doaj   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

FedADC: Federated Average Knowledge Distilled Mutual Conditional Learning (FedADC) for Waste Classification

IEEE Access
Federated learning presents a potent avenue for addressing challenges in waste classification, where diverse datasets are distributed across sources.
Ananya Ghosh, Parthiban Krishnamoorthy
doaj   +1 more source